Altair RapidMiner is an enterprise data analytics and AI platform that unifies structured and unstructured data, extracts hidden information from sources like PDFs, and offers both code‑free and code‑friendly environments. It combines a data‑fabric layer, knowledge‑graph engine, SAS language support, and generative AI with AI agents to enable end‑to‑end model development, deployment, and continuous learning across on‑premise, cloud, or hybrid environments.
Funding
$3.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often struggle with fragmented data sources, inaccessible “dark data,” and legacy analytics tools that require extensive coding, limiting the ability to derive timely insights and scale AI initiatives.
Solution
Altair RapidMiner provides a unified data analytics and AI platform that connects siloed structured and unstructured data, extracts information from hidden sources such as PDFs and reports, and offers both code‑free and code‑friendly environments. The platform includes built‑in data fabric, knowledge‑graph capabilities, and a SAS language engine to protect existing investments. Advanced analytics, predictive modeling, and generative AI tools are integrated with AI agents and automation workflows, enabling continuous learning and adaptive decision‑making across the enterprise. Deployment options span on‑premise, cloud, or hybrid, delivering scalable performance for large workloads while maintaining governance and security.
Target Audience
Primary customers are enterprise data teams—including business analysts, data scientists, and data architects—across industries such as manufacturing, finance, healthcare, and energy that need to modernize analytics, unlock hidden data, and scale AI initiatives.
Features
- Data fabric layer that unifies and transforms siloed data, supporting both structured and unstructured formats
- Automated extraction of “dark data” from PDFs, business reports, and other non‑tabular sources
- SAS language engine for running and modernizing legacy SAS code within the platform
- Knowledge‑graph engine powered by a massively parallel graph database for relationship‑driven AI and context‑aware analytics
- End‑to‑end AI development suite with generative AI, AI agents, and automation for model building, deployment, and monitoring
- Governance framework that enforces traceability, prevents AI hallucinations, and ensures compliance
- Flexible deployment models (on‑premise, cloud, hybrid) with unlimited scalability backed by exascale‑grade technology
- Self‑service and collaborative tools for business analysts, data scientists, and IT architects